Model Product Ranking
Company: Shopify
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
You are building a machine learning model for product ranking in an e-commerce marketplace. Given a user, context, and a set of candidate products, rank the products so that the most relevant items appear first. Discuss the modeling approach: what data you would collect, how you would define labels, what features you would use, which models you would consider, how you would train the model, and how you would evaluate success offline and online.
Overview: This question evaluates understanding of end-to-end machine learning ranking systems, including label definition, feature engineering, model selection, training strategies, and offline/online evaluation.
Read the full Shopify Machine Learning Engineer interview experience this question came from
